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Multi-objective ecological restoration priority in China: Cost-benefit optimization in different ecological performance regimes based on planetary boundaries  ( SCI-EXPANDED收录 EI收录)   被引量:15

文献类型:期刊文献

英文题名:Multi-objective ecological restoration priority in China: Cost-benefit optimization in different ecological performance regimes based on planetary boundaries

作者:Zhao, Yifei[1] Liu, Shiliang[1] Liu, Hua[1] Wang, Fangfang[1] Dong, Yuhong[2] Wu, Gang[3] Li, Yetong[1] Wang, Wanting[1] Tran, Lam-Son Phan[4] Li, Weiqiang[5]

第一作者:Zhao, Yifei

通信作者:Liu, SL[1]

机构:[1]Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;[3]Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China;[4]Texas Tech Univ, Inst Genom Crop Abiot Stress Tolerance, Dept Plant & Soil Sci, Lubbock, TX 79409 USA;[5]Chinese Acad Sci, Key Lab Mollisols Agroecol, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China

年份:2024

卷号:356

外文期刊名:JOURNAL OF ENVIRONMENTAL MANAGEMENT

收录:;EI(收录号:20241315822851);Scopus(收录号:2-s2.0-85188696439);WOS:【SCI-EXPANDED(收录号:WOS:001224400300001)】;

基金:This work was supported by the National Key Research and Devel- opment Project, China (No. 2022YFF1303204) and the National Natural Sciences Fund Project (No. 42271097) .

语种:英文

外文关键词:Planetary boundary; Performance regime; Ecological restoration priority; Ecological restoration projects; Zonation model

摘要:In the context of the "United Nations Decade on Ecosystem Restoration", optimizing spatiotemporal arrangements for ecological restoration is an important approach to enhancing overall socioecological benefits for sustainable development. However, against the background of ecological degradation caused by the human use of most natural resources at levels that have approached or exceeded the safe and sustainable boundaries of ecosystems, it is key to explain how to optimize ecological restoration by classified management and optimal total benefits. In response to these issues, we combined spatial heterogeneity and temporal dynamics at the national scale in China to construct five ecological performance regimes defined by indicators that use planetary boundaries and ecological pressures which served as the basis for prioritizing ecological restoration areas and implementing zoning control. By integrating habitat conservation, biodiversity, water supply, and restoration cost constraints, seven ecological restoration scenarios were simulated to optimize the spatial layout of ecological restoration projects (ERPs). The results indicated that the provinces with unsustainable freshwater use, climate change, and land use accounted for more than 25%, 66.7%, and 25%, respectively, of the total area. Only 30% of the provinces experienced a decrease in environmental pressure. Based on the ecological performance regimes, ERP sites spanning the past 20 years were identified, and more than 50% of the priority areas were clustered in regime areas with increased ecological stress. As the restoration area targets doubled (40%) from the baseline (20%), a multi-objective scenario presents a trade-off between expanded ERPs in areas with highly beneficial effects and minimal restoration costs. In conclusion, a reasonable classification and management regime is the basis for targeted restoration. Coordinating multiple objectives and costs in ecological restoration is the key to maximizing socio-ecological benefits. Our study offered new perspectives on systematic and sustainable planning for ecological restoration.

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